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Effective analysis of emotion-based satire detection model on various machine learning algorithms
http://hdl.handle.net/20.500.12678/0000006572
http://hdl.handle.net/20.500.12678/000000657226235d3e-9473-45bb-a22f-fdfb5fe841f7
a377a2cc-b695-46a1-844f-d6221a5bee54
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PyaePhyoThu_Publication_P2.pdf (83 Kb)
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Publication type | ||||||
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Conference paper | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Effective analysis of emotion-based satire detection model on various machine learning algorithms | |||||
Language | en | |||||
Authors | ||||||
Pyae Phyo Thu | ||||||
Than Nwe Aung | ||||||
Description | ||||||
Keywords | ||||||
Satire Detection , Emotional Features , Base Classifiers , Ensemble Classifiers | ||||||
Identifier | 10.1109/GCCE.2017.8229386 | |||||
Conference papers | ||||||
GCCE | ||||||
24th October, 2017 | ||||||
2017 IEEE 6th Global Conference on Consumer Electronics | ||||||
Nagoya, Japan |